Cisco Big Data Automation Case Study

1,107 views

Published on

Cisco Case Study- Hadoop Workloads
View this presentation to learn architectural best practices for automating Big Data workloads and how to manage high performance Big Data workloads using Cisco Tidal Enterprise Scheduler on MapR.

Published in: Technology, Business
0 Comments
1 Like
Statistics
Notes

Comments are closed

  • Be the first to comment

No Downloads
Views
Total views
1,107
On SlideShare
0
From Embeds
0
Number of Embeds
4
Actions
Shares
0
Downloads
47
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide
  • Cisco PaasCisco CITIES—Self service provisioning: Hours vs daysUCS + Fabric + Network + Storage: Validated Big Data architectureCisco software architectureCisco TES – Automated business process integrationHadoop/MapR M5: Flexible, high performance processingInformatica 9.5.1: Flexible ETL and data integrationTeradata: Unbreakable data warehousingTableau: Robust easy to use analytics platform
  • VIBE Logo
  • Cisco Big Data Automation Case Study

    1. 1. Cisco Public 1© 2013 Cisco and/or its affiliates. All rights reserved.Cisco Case Study--Hadoop WorkloadsArchitectural best practices for automating Big Data workloads
    2. 2. © 2013 Cisco and/or its affiliates. All rights reserved. Cisco Public 2Cisco CloupiaInfrastructure Process AutomationCisco Intelligent Automation for CloudPlatform Process AutomationSelf Service PortalPolicy-BasedCompute ManagementFTP/WS/Cloud Big Data BI/ETL/DWERP/CRM/SCMCisco Tidal Enterprise SchedulerHardware and OSManagement LayerIaas/Paas andAutomation LayersPolicy-BasedNetwork Management
    3. 3. © 2013 Cisco and/or its affiliates. All rights reserved. Cisco Public 3Cisco Confidential 3Cisco Confidential 3C97-702249-00 © 2012 Cisco and/or its affiliates. All rights reserved.“Delivering the right data to theright application at the righttime”Workload Automation
    4. 4. © 2013 Cisco and/or its affiliates. All rights reserved. Cisco Public 4Unique Adapters for Managing Business ProcessAccelerateTime toMarketEliminateScriptingAPIs forBestPracticesUnderstandthe End UserRequirementsLeverageApplicationExpertiseSupportsDependenciesData Feeds/Events Big Data/Analytics Machine/SecurityBatch/SchedulesCisco Tidal Enterprise Scheduler*Source: Gartner EXP (February 2007)ETLERP Database BIEC2S3VMwareCloud Big DataRESTSOAPFTPFTP/Web ServicesGranularSecurity
    5. 5. C97-702249-00 © 2012 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 5Quality What it means for WLA1 Experience Single console for ALL enterprise workloads2 AvailabilityFault tolerantHigh availability3 PerformanceTied to SLA – Predictive workloadsCritical path analysisElastic workload management4 Scalability N-tier: Handle high volume and complex workloads5 AdaptabilityDependency supportWorkload elasticityAPI integrations – no scripting6 Security Granularity: LDAP and Active Directory security controls7 EconomyReduce TTM – ALL levels (dev, test, prod)Automation of complex job streams
    6. 6. © 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 6• Tested and Validated Reference Architectures• Joint engineering Lab• Solution Bundles• Technical Collaterals• www.cisco.com/go/bigdataNoSQL DatabaseNo SQL MPP DatabasesHadoop
    7. 7. Cisco Public 7© 2013 Cisco and/or its affiliates. All rights reserved.Cisco CVCITManaging high performance Big Data workloads using Cisco TidalEnterprise Scheduler on MapRSudharshan SeerapuCisco IT Solution Architect
    8. 8. © 2013 Cisco and/or its affiliates. All rights reserved. Cisco Public 8Audio/VideoImages TextWeb &SocialMachineLogsCRM SCM ERPCapture, Store, Refine Big DataEnterpriseData WarehouseVisualization
    9. 9. © 2013 Cisco and/or its affiliates. All rights reserved. Cisco Public 9Cisco TES deliver automated singlepane of glass for all Big Data workloads
    10. 10. Thank you.

    ×